Detail publikace

Test Frequency Selection using Efficient Space Coordinate Transformation

Originální název

Test Frequency Selection using Efficient Space Coordinate Transformation

Anglický název

Test Frequency Selection using Efficient Space Coordinate Transformation

Jazyk

en

Originální abstrakt

The paper deals with a new efficient method for test frequency selection for analog fault diagnosis based on a transformed space of optimization coordinates. The original symmetrical linear space is transformed so that the mirrored optima are removed and the transformation takes into account the logarithm scale of the frequency axis. The optimum set of frequencies is found faster and the optimization algorithm has lower computational demands in comparison with the original optimization problem solved for example using Genetic Algorithms. Also, in the case of an overdetermined system of fault equations, the method can be used for selection of frequencies with defined minimum and maximum spacing. The proposed procedure is demonstrated on an example of a~frequency filter.

Anglický abstrakt

The paper deals with a new efficient method for test frequency selection for analog fault diagnosis based on a transformed space of optimization coordinates. The original symmetrical linear space is transformed so that the mirrored optima are removed and the transformation takes into account the logarithm scale of the frequency axis. The optimum set of frequencies is found faster and the optimization algorithm has lower computational demands in comparison with the original optimization problem solved for example using Genetic Algorithms. Also, in the case of an overdetermined system of fault equations, the method can be used for selection of frequencies with defined minimum and maximum spacing. The proposed procedure is demonstrated on an example of a~frequency filter.

Dokumenty

BibTex


@inproceedings{BUT107221,
  author="Zdeněk {Kincl} and Zdeněk {Kolka}",
  title="Test Frequency Selection using Efficient Space Coordinate Transformation",
  annote="The paper deals with a new efficient method for test frequency selection for analog fault diagnosis based on a transformed space of optimization coordinates. The original symmetrical linear space is transformed so that the mirrored optima are removed and the transformation takes into account the logarithm scale of the frequency axis. The optimum set of frequencies is found faster and the optimization algorithm has lower computational demands in comparison with the original optimization problem solved for example using Genetic Algorithms. Also, in the case of an overdetermined system of fault equations, the method can be used for selection of frequencies with defined minimum and maximum spacing. The proposed procedure is demonstrated on an example of a~frequency filter.",
  booktitle="Proccedings of the 24th International Conference Radioelektronika 2014.",
  chapter="107221",
  howpublished="print",
  year="2014",
  month="april",
  pages="1--4",
  type="conference paper"
}